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QSAR studies on some antimalarial sulfonamides.
V K Agrawal1, R Srivastava, P V Khadikar
1Department of Chemistry, A.P.S. University, Rewa-486 003, India. vijay-agrawal@lycos.com
Bioorganic & Medicinal Chemistry
|November 17, 2001
Summary
This study modeled the antimalarial activity of quinazoline sulfonamides using topological indices. Wiener index-based models showed slightly better predictive ability for antimalarial drug discovery.
Area of Science:
- Medicinal Chemistry
- Computational Chemistry
- Drug Discovery
Background:
- Sulfonamide derivatives are explored for antimalarial properties.
- Topological indices offer a way to model structure-activity relationships.
Purpose of the Study:
- To model the antimalarial activity of 2,4-diamino-6-quinazoline sulfonamides.
- To evaluate the predictive performance of topological indices in this modeling.
Main Methods:
- Quantitative Structure-Activity Relationship (QSAR) analysis was performed.
- Wiener (W) and Szeged (Sz) topological indices were utilized.
- Multiparametric regression analysis incorporated indicator parameters.
Main Results:
- Regression models were developed to predict antimalarial activity.
- Introduction of indicator parameters improved model performance.
- Models based on the Wiener index demonstrated slightly superior predictive ability compared to Szeged index models.
Conclusions:
- Topological modeling, particularly using the Wiener index, is effective for predicting the antimalarial activity of quinazoline sulfonamides.
- This approach can aid in the rational design of new antimalarial agents.